On a Hybrid Joint Segmentation/Multimodal Registration Model via Finite Distortion Mappings and Implicit Neural Representations - Diane Chan-Sock-Line; Noémie Debroux; Carole Le Guyader; Caroline Petitjean (Scale Space and Variational Methods in Computer Vision - 10th International Conference, SSVM 2025, Dartington, UK, May 18-22, 2025, Proceedings, Part II, 2025)

[Citation needed] Data usage and citation practices in medical imaging conferences - Théo Sourget; Ahmet Akkoç; Stinna Winther; Christine Lyngbye Galsgaard; Amelia Jiménez-Sánchez; Dovile Juodelyte; Caroline Petitjean; Veronika Cheplygina (Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France, 2024)

Preface for International Conference on Medical Imaging with Deep Learning 2024 - Ninon Burgos; Caroline Petitjean; Maria Vakalopoulou; Stergios Christodoulidis; Pierrick Coupé; Hervé Delingette; Carole Lartizien; Diana Mateus (Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France, 2024)

A Guided Tour of Post-hoc XAI Techniques in Image Segmentation - Syed Nouman Hasany; Fabrice Mériaudeau; Caroline Petitjean (Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part II, 2024)

Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France - Ninon Burgos; Caroline Petitjean; Maria Vakalopoulou; Stergios Christodoulidis; Pierrick Coupé; Hervé Delingette; Carole Lartizien; Diana Mateus (PMLR, 2024)

[Citation needed] Data usage and citation practices in medical imaging conferences - Théo Sourget; Ahmet Akkoç; Stinna Winther; Christine Lyngbye Galsgaard; Amelia Jiménez-Sánchez; Dovile Juodelyte; Caroline Petitjean; Veronika Cheplygina (CoRR, 2024)

MiSuRe is all you need to explain your image segmentation - Syed Nouman Hasany; Fabrice Mériaudeau; Caroline Petitjean (CoRR, 2024)

Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation - Syed Nouman Hasany; Caroline Petitjean; Fabrice Mériaudeau (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, 2023)

A study of attention information from transformer layers in hybrid medical image segmentation networks - Syed Nouman Hasany; Caroline Petitjean; Fabrice Mériaudeau (Medical Imaging 2023: Image Processing, San Diego, CA, USA, February 19-23, 2023, 2023)

Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? - Théo Sourget; Syed Nouman Hasany; Fabrice Mériaudeau; Caroline Petitjean (Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023, Proceedings, 2023)

On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy - Zoé Lambert; Carole Le Guyader; Caroline Petitjean (Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings, 2023)

Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation - Syed Nouman Hasany; Caroline Petitjean; Fabrice Mériaudeau (The 2nd Explainable AI for Computer Vision Workshop, XAI4CV 2023, Workshop at CVPR 2023, Vancouver, BC, Canada , June 19, 2023, Proceedings, 2023)

Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings - Jonghye Woo; Alessa Hering; Wilson Silva; Xiang Li; Huazhu Fu; Xiaofeng Liu; Fangxu Xing; Sanjay Purushotham; Tejas Sudharshan Mathai; Pritam Mukherjee; Max De Grauw; Regina Beets-Tan; et al. (Springer, 2023)

Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images - Jing Zhang; Caroline Petitjean; Samia Ainouz (J. Imaging, 2022)

Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning - Zoé Lambert; Carole Le Guyader; Caroline Petitjean (J. Math. Imaging Vis., 2022)

Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings - Xinxing Xu; Xiaomeng Li; Dwarikanath Mahapatra; Li Cheng; Caroline Petitjean; Huazhu Fu (Springer, 2022)

Effect of Prior-based Losses on Segmentation Performance: A Benchmark - Rosana El Jurdi; Caroline Petitjean; Veronika Cheplygina; Paul Honeine; Fahed Abdallah (CoRR, 2022)

Biomedical image analysis competitions: The state of current participation practice - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

High-level prior-based loss functions for medical image segmentation: A survey - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Veronika Cheplygina; Fahed Abdallah (Comput. Vis. Image Underst., 2021)

A Geometrically-Constrained Deep Network For Ct Image Segmentation - Zoé Lambert; Carole Le Guyader; Caroline Petitjean (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Veronika Cheplygina; Fahed Abdallah (Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany, 2021)

BB-UNet: U-Net With Bounding Box Prior - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Fahed Abdallah (IEEE J. Sel. Top. Signal Process., 2020)

Improving pattern spotting in historical documents using feature pyramid networks - Ignacio Úbeda; José M. Saavedra; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (Pattern Recognit. Lett., 2020)

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks" - Dong Nie; Roger Trullo; Jun Lian; Li Wang; Caroline Petitjean; Su Ruan; Qian Wang; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation - Rosana El Jurdi; Thomas Dargent; Caroline Petitjean; Paul Honeine; Fahed Abdallah (Tenth International Conference on Image Processing Theory, Tools and Applications, IPTA 2020, Paris, France, November 9-12, 2020, 2020)

Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation - Zoé Lambert; Carole Le Guyader; Caroline Petitjean (Tenth International Conference on Image Processing Theory, Tools and Applications, IPTA 2020, Paris, France, November 9-12, 2020, 2020)

SegTHOR: Segmentation of Thoracic Organs at Risk in CT images - Zoé Lambert; Caroline Petitjean; Bernard Dubray; Su Ruan (Tenth International Conference on Image Processing Theory, Tools and Applications, IPTA 2020, Paris, France, November 9-12, 2020, 2020)

Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network - Jing Zhang; Caroline Petitjean; Samia Ainouz (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images - Jing Zhang; Caroline Petitjean; Florian Yger; Samia Ainouz (Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Direct estimation of fetal head circumference from ultrasound images based on regression CNN - Jing Zhang; Caroline Petitjean; Pierre Lopez; Samia Ainouz (International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada, 2020)

High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Veronika Cheplygina; Fahed Abdallah (CoRR, 2020)

Multiple instance learning for histopathological breast cancer image classification - P. J. Sudharshan; Caroline Petitjean; Fabio A. Spanhol; Luiz Eduardo Soares de Oliveira; Laurent Heutte; Paul Honeine (Expert Syst. Appl., 2019)

Pattern Spotting in Historical Documents Using Convolutional Models - Ignacio Úbeda; José M. Saavedra; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2019, Sydney, NSW, Australia, September 20-21, 2019, 2019)

Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019 - Caroline Petitjean; Su Ruan; Zoé Lambert; Bernard Dubray (CEUR-WS.org, 2019)

Pattern Spotting in Historical Documents Using Convolutional Models - Ignacio Úbeda; José M. Saavedra; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (CoRR, 2019)

SegTHOR: Segmentation of Thoracic Organs at Risk in CT images - Zoé Lambert; Caroline Petitjean; Bernard Dubray; Su Ruan (CoRR, 2019)

Medical Image Synthesis with Deep Convolutional Adversarial Networks - Dong Nie; Roger Trullo; Jun Lian; Li Wang; Caroline Petitjean; Su Ruan; Qian Wang; Dinggang Shen (IEEE Trans. Biomed. Eng., 2018)

Automatic classification of human sperm head morphology - Violeta Chang; Laurent Heutte; Caroline Petitjean; Steffen Härtel; Nancy Hitschfeld (Comput. Biol. Medicine, 2017)

Specularity removal: A global energy minimization approach based on polarization imaging - Fan Wang; Samia Ainouz; Caroline Petitjean; Abdelaziz Bensrhair (Comput. Vis. Image Underst., 2017)

New public dataset for spotting patterns in medieval document images - Sovann En; Stéphane Nicolas; Caroline Petitjean; Frédéric Jurie; Laurent Heutte (J. Electronic Imaging, 2017)

Fully automated esophagus segmentation with a hierarchical deep learning approach - Roger Trullo; Caroline Petitjean; Dong Nie; Dinggang Shen; Su Ruan (2017 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017, Kuching, Malaysia, September 12-14, 2017, 2017)

Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields - Roger Trullo; Caroline Petitjean; Su Ruan; Bernard Dubray; Dong Nie; Dinggang Shen (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures - Roger Trullo; Caroline Petitjean; Dong Nie; Dinggang Shen; Su Ruan (Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings, 2017)

Medical Image Synthesis with Context-Aware Generative Adversarial Networks - Dong Nie; Roger Trullo; Jun Lian; Caroline Petitjean; Su Ruan; Qian Wang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 2017)

Deep features for breast cancer histopathological image classification - Fabio A. Spanhol; Luiz S. Oliveira; Paulo R. Cavalin; Caroline Petitjean; Laurent Heutte (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, 2017)

Multilabel statistical shape prior for image segmentation - Damien Grosgeorge; Caroline Petitjean; Su Ruan (IET Image Process., 2016)

A scalable pattern spotting system for historical documents - Sovann En; Caroline Petitjean; Stéphane Nicolas; Laurent Heutte (Pattern Recognit., 2016)

Extreme learning machine for out-of-sample extension in Laplacian eigenmaps - Arturo Mendoza Quispe; Caroline Petitjean; Laurent Heutte (Pattern Recognit. Lett., 2016)

A Dataset for Breast Cancer Histopathological Image Classification - Fabio A. Spanhol; Luiz S. Oliveira; Caroline Petitjean; Laurent Heutte (IEEE Trans. Biomed. Eng., 2016)

Region Proposal for Pattern Spotting in Historical Document Images - Sovann En; Caroline Petitjean; Stéphane Nicolas; Laurent Heutte; Frédéric Jurie (15th International Conference on Frontiers in Handwriting Recognition, ICFHR 2016, Shenzhen, China, October 23-26, 2016, 2016)

Polarization-based specularity removal method with global energy minimization - Fan Wang; Samia Ainouz; Caroline Petitjean; Abdelaziz Bensrhair (2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016, 2016)

Pattern localization in historical document images via template matching - Sovann En; Caroline Petitjean; Stéphane Nicolas; Laurent Heutte; Frédéric Jurie (23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016, 2016)

Breast cancer histopathological image classification using Convolutional Neural Networks - Fabio Alexandre Spanhol; Luiz S. Oliveira; Caroline Petitjean; Laurent Heutte (2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016, 2016)

Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging - Laurent Heutte; Caroline Petitjean; Chesner Désir (Handbook of Pattern Recognition and Computer Vision, 5th Ed, 2016)

Medical Image Synthesis with Context-Aware Generative Adversarial Networks - Dong Nie; Roger Trullo; Caroline Petitjean; Su Ruan; Dinggang Shen (CoRR, 2016)

Robust feature selection to predict tumor treatment outcome - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (Artif. Intell. Medicine, 2015)

Right ventricle segmentation from cardiac MRI: A collation study - Caroline Petitjean; Maria A. Zuluaga; Wenjia Bai; Jean-Nicolas Dacher; Damien Grosgeorge; Jérôme Caudron; Su Ruan; Ismail Ben Ayed; Manuel Jorge Cardoso; Hsiang-Chou Chen; Daniel Jimenez-Carretero; María J. Ledesma-Carbayo; et al. (Medical Image Anal., 2015)

Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images - Hongmei Mi; Caroline Petitjean; Pierre Vera; Su Ruan (Medical Image Anal., 2015)

Segmentation-free pattern spotting in historical document images - Sovann En; Caroline Petitjean; Stéphane Nicolas; Laurent Heutte (13th International Conference on Document Analysis and Recognition, ICDAR 2015, Nancy, France, August 23-26, 2015, 2015)

Shape prior based image segmentation using manifold learning - Arturo Mendoza Quispe; Caroline Petitjean (2015 International Conference on Image Processing Theory, Tools and Applications, IPTA 2015, Orleans, France, November 10-13, 2015, 2015)

Linear Discriminant Analysis for Zero-shot Learning Image Retrieval - Sovann En; Frédéric Jurie; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (VISAPP 2015 - Proceedings of the 10th International Conference on Computer Vision Theory and Applications, Volume 2, Berlin, Germany, 11-14 March, 2015, 2015)

Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images - Alain Rakotomamonjy; Caroline Petitjean; Mathieu Salaün; Luc Thiberville (Artif. Intell. Medicine, 2014)

Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (IEEE Trans. Medical Imaging, 2014)

3D automated lymphoma segmentation in PET images based on cellular automata - Paul Desbordes; Caroline Petitjean; Su Ruan (4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014, Paris, France, October 14-17, 2014, 2014)

Joint segmentation of right and left cardiac ventricles using multi-label graph cut - Damien Grosgeorge; Caroline Petitjean; Su Ruan (IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, April 29 - May 2, 2014, Beijing, Chin, Beijing, China, 2014)

Automatic lung tumor segmentation on PET images based on random walks and tumor growth model - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, April 29 - May 2, 2014, Beijing, Chin, Beijing, China, 2014)

Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut - Damien Grosgeorge; Caroline Petitjean; Bernard Dubray; Su Ruan (Comput. Math. Methods Medicine, 2013)

Graph cut segmentation with a statistical shape model in cardiac MRI - Damien Grosgeorge; Caroline Petitjean; Jean-Nicolas Dacher; Su Ruan (Comput. Vis. Image Underst., 2013)

One class random forests - Chesner Désir; Simon Bernard; Caroline Petitjean; Laurent Heutte (Pattern Recognit., 2013)

Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model - Hongmei Mi; Caroline Petitjean; Su Ruan; Pierre Vera; Bernard Dubray (10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, 7-11 April, 2013, San Francisco, CA, USA, Proceedings, 2013)

An SVM-based distal lung image classification using texture descriptors - Chesner Désir; Caroline Petitjean; Laurent Heutte; Luc Thiberville; Mathieu Salaün (Comput. Medical Imaging Graph., 2012)

Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees - Chesner Désir; Caroline Petitjean; Laurent Heutte; Mathieu Salaün; Luc Thiberville (IEEE Trans. Biomed. Eng., 2012)

Detection of pathological condition in distal lung images - David Hebert; Chesner Désir; Caroline Petitjean; Laurent Heutte; Luc Thiberville (9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, May 2-5, 2012, Barcelona, Spain, Proceedings, 2012)

A Random Forest Based Approach for One Class Classification in Medical Imaging - Chesner Désir; Simon Bernard; Caroline Petitjean; Laurent Heutte (Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers, 2012)

A New Random Forest Method for One-Class Classification - Chesner Désir; Simon Bernard; Caroline Petitjean; Laurent Heutte (Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings, 2012)

Automatic cardiac ventricle segmentation in MR images: a validation study - Damien Grosgeorge; Caroline Petitjean; Jérôme Caudron; Jeannette Fares; Jean-Nicolas Dacher (Int. J. Comput. Assist. Radiol. Surg., 2011)

A review of segmentation methods in short axis cardiac MR images - Caroline Petitjean; Jean-Nicolas Dacher (Medical Image Anal., 2011)

Using a Priori Knowledge to Classify in Vivo Images of the Lung - Chesner Désir; Caroline Petitjean; Laurent Heutte; Luc Thiberville (Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings, 2010)

A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes - Caroline Petitjean; Laurent Heutte; Régis Kouadio; Vincent Delcourt (Pattern Recognition and Image Analysis, 4th Iberian Conference, IbPRIA 2009, Póvoa de Varzim, Portugal, June 10-12, 2009, Proceedings, 2009)

Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis - Aurélien Saint-Réquier; Benoît Lelandais; Caroline Petitjean; Chesner Désir; Laurent Heutte; Mathieu Salaün; Luc Thiberville (Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings, 2009)

Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System - Caroline Petitjean; Jonathan Benoist; Luc Thiberville; Mathieu Salaün; Laurent Heutte (Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), Keio University, Yokohama, Japan, May 20-22, 2009, 2009)

Automatic Extraction of Droppers in Catenary Scenes - Caroline Petitjean; Laurent Heutte; Régis Kouadio; Vincent Delcourt (Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), Keio University, Yokohama, Japan, May 20-22, 2009, 2009)

Automatic extraction of information for catenary scene analysis - Florent Montreuil; Régis Kouadio; Caroline Petitjean; Laurent Heutte; Vincent Delcourt (2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008, 2008)

A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures - Nicolas Rougon; Caroline Petitjean; Françoise J. Prêteux; Philippe Cluzel; Philippe Grenier (Medical Image Anal., 2005)

Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI - Nicolas F. Rougon; Caroline Petitjean; Françoise J. Prêteux (Medical Imaging 2004: Image Processing, San Diego, California, United States, 14-19 February 2004, 2004)

Recalage non rigide d'images par approches variationnelles statistiques - Application à l'analyse et à la modélisation de la fonction myocardique en IRM - Caroline Petitjean (Paris Descartes University, France, 2003)

Measuring myocardial deformations from MR data using information-theoretic non rigid registration - Caroline Petitjean; Nicolas Rougon; Françoise J. Prêteux; Philippe Cluzel; Philippe Grenier (CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, London, UK, June 25-28, 2003, 2003)

Measuring Myocardial Deformations in Tagged MR Image Sequences Using Informational Non-rigid Registration - Caroline Petitjean; Nicolas Rougon; Françoise J. Prêteux; Philippe Cluzel; Philippe Grenier (Functional Imaging and Modeling of the Heart, Second International Workshop, FIMH 2003, Lyon, France, June 5-6, 2003 Proceedings, 2003)

Variational non rigid image registration using exclusive F-information - Nicolas Rougon; Caroline Petitjean; Françoise J. Prêteux (Proceedings of the 2003 International Conference on Image Processing, ICIP 2003, Barcelona, Catalonia, Spain, September 14-18, 2003, 2003)